{"id":"W4319296091","doi":"10.34133/bdr.0009","title":"SLICER: A Seamless Gene Deletion Method for Deinococcus radiodurans","year":2023,"lang":"en","type":"article","venue":"BioDesign Research","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deinococcus radiodurans; Plasmid; Biology; Synthetic biology; Genome editing; Computational biology; Homing endonuclease; Gene; Homologous recombination; Genome engineering; Genetics; CRISPR; Genome","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559543,0.0001209504,0.0001283026,0.0002044867,0.0001908285,0.00003964013,0.000211511,0.0001769884,0.000008595243],"category_scores_gemma":[0.0002657201,0.0001125968,0.00009098438,0.0005463482,0.00005075676,0.000003117338,0.00006308514,0.0001236824,0.00006022387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002311528,"about_ca_system_score_gemma":0.00008149043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005384399,"about_ca_topic_score_gemma":0.000006704714,"domain_scores_codex":[0.9984458,0.0002304733,0.0001537403,0.0004725324,0.0002031257,0.0004943081],"domain_scores_gemma":[0.9992299,0.000022807,0.00002191586,0.000363813,0.0002697327,0.00009181374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001163401,0.0000229374,0.00002491444,0.00004803858,0.00003275923,0.00000129027,0.00002910176,0.0002399004,0.9589172,0.0001050245,0.02569651,0.01476598],"study_design_scores_gemma":[0.0003486984,0.0001726094,0.0002447692,0.000006609773,0.000007574181,0.00001113656,0.00003257039,0.001228032,0.8261698,0.00005343257,0.1715969,0.0001278929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4766094,0.001559766,0.5178809,0.001397355,0.0005759465,0.001491125,0.0001316121,0.0001714993,0.0001823989],"genre_scores_gemma":[0.909854,0.001884362,0.07362086,0.0001074233,0.003343616,0.000749386,0.0009655827,0.0001082476,0.009366523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4442601,"threshold_uncertainty_score":0.4591566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08963727346521379,"score_gpt":0.4119173340954055,"score_spread":0.3222800606301918,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}